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Model: paoloronco/Mistral-7B-Instruct-v0.3-heretic Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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tags:
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- abliteration
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- uncensored
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- behavior-steering
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- mistral
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- text-generation
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- lora
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language:
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- en
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pipeline_tag: text-generation
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library_name: transformers
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---
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# Mistral-7B-Instruct-v0.3-heretic
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[](https://huggingface.co/paoloronco/Mistral-7B-Instruct-v0.3-heretic)
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[](https://opensource.org/licenses/Apache-2.0)
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An **abliterated** version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3), created with [Heretic](https://github.com/p-e-w/heretic) v1.3.0.
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Refusal behavior reduced to 4/100 prompts, with a KL divergence of 0.0606 — original capabilities are largely preserved.
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---
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## Quick start
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
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import torch
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model_id = "paoloronco/Mistral-7B-Instruct-v0.3-heretic"
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# 4-bit quantization for GPUs with less than 16 GB VRAM
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quantization_config = BitsAndBytesConfig(load_in_4bit=True)
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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quantization_config=quantization_config,
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device_map="auto"
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)
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messages = [{"role": "user", "content": "Tell me about yourself."}]
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inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
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outputs = model.generate(inputs, max_new_tokens=200)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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Full precision (requires 16+ GB VRAM):
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```python
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype=torch.bfloat16,
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device_map="auto"
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)
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```
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---
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## What is abliteration
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[Heretic](https://github.com/p-e-w/heretic) modifies the weights of a language model to suppress automatic refusals without retraining from scratch. The process:
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1. Loads the model and runs forward passes on two prompt sets: harmless and harmful
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2. Analyzes internal activations to find the **refusal direction** in latent space
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3. Optimizes parameters with **Optuna** (Bayesian optimization, 200 trials)
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4. Applies the correction via **LoRA** — a lightweight, targeted weight modification
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The model is not retrained. Its internal geometry is redirected.
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Tool developed by [Philipp Emanuel Weidmann (p-e-w)](https://github.com/p-e-w), released under AGPL-3.0.
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---
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## Model details
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| Property | Value |
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|---|---|
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| Base model | mistralai/Mistral-7B-Instruct-v0.3 |
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| Tool used | Heretic v1.3.0 |
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| Parameters | 7.25B |
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| Architecture | MistralForCausalLM |
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| Data type | bfloat16 |
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| Max context | 32768 tokens |
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| License | Apache-2.0 |
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### Abliteration parameters (Trial 173)
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| Parameter | Value |
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|---|---|
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| direction_index | 16.87 |
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| attn.o_proj.max_weight | 1.44 |
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| attn.o_proj.max_weight_position | 24.50 |
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| attn.o_proj.min_weight | 1.01 |
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| attn.o_proj.min_weight_distance | 13.91 |
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| mlp.down_proj.max_weight | 1.18 |
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| mlp.down_proj.max_weight_position | 20.94 |
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| mlp.down_proj.min_weight | 1.16 |
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| mlp.down_proj.min_weight_distance | 8.36 |
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### Results
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| Metric | This model |
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|---|---|
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| KL divergence | 0.0606 |
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| Refusals out of 100 prompts | 4/100 |
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KL divergence measures deviation from the original model. Lower = better quality preservation. Values above 0.5 indicate significant capability damage.
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---
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## Hardware used
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```
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GPU: NVIDIA GeForce RTX 4090 (48 GB VRAM)
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OS: Linux
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CUDA: 13.0
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Driver: 580.142
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```
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Optimization time: 200 Optuna trials in 19 minutes 21 seconds.
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---
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## Links
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- **Hugging Face**: [paoloronco/Mistral-7B-Instruct-v0.3-heretic](https://huggingface.co/paoloronco/Mistral-7B-Instruct-v0.3-heretic)
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- **GitHub repo**: [paoloronco/heretic-models](https://github.com/paoloronco/heretic-models)
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- **Tool used**: [github.com/p-e-w/heretic](https://github.com/p-e-w/heretic)
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- **Base model**: [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)
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---
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## Disclaimer
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This model is intended for **research and personal use**. It has reduced safety restrictions compared to the base model. Use responsibly and in accordance with applicable laws and regulations.
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---
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**Author**: Paolo Ronco — [paoloronco on Hugging Face](https://huggingface.co/paoloronco)
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chat_template.jinja
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{%- if messages[0]["role"] == "system" %}
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{%- set system_message = messages[0]["content"] %}
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{%- set loop_messages = messages[1:] %}
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{%- else %}
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{%- set loop_messages = messages %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = none %}
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{%- endif %}
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{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
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{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
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{%- set ns = namespace() %}
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{%- set ns.index = 0 %}
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{%- for message in loop_messages %}
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{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
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{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
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{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
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{%- endif %}
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{%- set ns.index = ns.index + 1 %}
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{%- endif %}
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{%- endfor %}
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{{- bos_token }}
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{%- for message in loop_messages %}
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{%- if message["role"] == "user" %}
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{%- if tools is not none and (message == user_messages[-1]) %}
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{{- "[AVAILABLE_TOOLS] [" }}
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{%- for tool in tools %}
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{%- set tool = tool.function %}
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{{- '{"type": "function", "function": {' }}
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{%- for key, val in tool.items() if key != "return" %}
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{%- if val is string %}
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{{- '"' + key + '": "' + val + '"' }}
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{%- else %}
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{{- '"' + key + '": ' + val|tojson }}
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{%- endif %}
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{%- if not loop.last %}
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{{- ", " }}
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{%- endif %}
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{%- endfor %}
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{{- "}}" }}
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{%- if not loop.last %}
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{{- ", " }}
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{%- else %}
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{{- "]" }}
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{%- endif %}
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{%- endfor %}
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{{- "[/AVAILABLE_TOOLS]" }}
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{%- endif %}
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{%- if loop.last and system_message is defined %}
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{{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
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{%- else %}
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{{- "[INST] " + message["content"] + "[/INST]" }}
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{%- endif %}
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{%- elif message.tool_calls is defined and message.tool_calls is not none %}
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{{- "[TOOL_CALLS] [" }}
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{%- for tool_call in message.tool_calls %}
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{%- set out = tool_call.function|tojson %}
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{{- out[:-1] }}
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{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
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{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
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{%- endif %}
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{{- ', "id": "' + tool_call.id + '"}' }}
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{%- if not loop.last %}
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{{- ", " }}
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{%- else %}
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{{- "]" + eos_token }}
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{%- endif %}
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{%- endfor %}
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{%- elif message["role"] == "assistant" %}
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{{- " " + message["content"]|trim + eos_token}}
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{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
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{%- if message.content is defined and message.content.content is defined %}
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{%- set content = message.content.content %}
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{%- else %}
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{%- set content = message.content %}
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{%- endif %}
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{{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
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{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
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{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
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{%- endif %}
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{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
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{%- else %}
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{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
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{%- endif %}
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{%- endfor %}
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config.json
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"MistralForCausalLM"
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"bos_token_id": 1,
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"dtype": "bfloat16",
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": false,
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"transformers_version": "5.9.0",
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"use_cache": true,
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"vocab_size": 32768
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}
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||||
}
|
||||
}
|
||||
275740
tokenizer.json
Normal file
275740
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
17
tokenizer_config.json
Normal file
17
tokenizer_config.json
Normal file
@@ -0,0 +1,17 @@
|
||||
{
|
||||
"add_prefix_space": true,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"is_local": false,
|
||||
"legacy": false,
|
||||
"local_files_only": false,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "</s>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "TokenizersBackend",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user